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Anuj Saini

Director Data Science

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Anuj Saini is a Subject Matter Expert in Natural Language Processing (NLP), Search Technologies, Statistics, Analytics, Modelling, Data Science, and Machine Learning, with a strong emphasis on Large Language Models (LLMs) and Generative AI.

Anuj brings extensive experience in developing advanced AI systems, particularly NLP applications using state-of-the-art machine learning techniques across diverse domains such as e-commerce, investment banking, and insurance. His expertise includes cutting-edge AI technologies like ChatGPT, LangChain, LLama2, OpenAI Embeddings, and HuggingFace.

Specializing in building intelligent Chatbots, Recommender Systems, Sentiment Analysis, and Semantic Technologies, Anuj leverages his proficiency in Python to deliver innovative solutions. With a proven track record in designing and implementing sophisticated LLM-driven applications, he is recognized as a leader in the field of Generative AI and NLP.

Gear up for an enlightening and comparative session at this year’s DataHack Summit! In this highly anticipated hack panel, we bring together leading AI practitioners to evaluate and compare various open-source & commercial Large Language Models (LLMs) across different tasks.

  • Phi3 vs GPT 4o vs Llama 3

    This panel offers a unique opportunity to delve into the strengths, weaknesses, and performance of these models in real-world applications.
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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More
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